Triple

T5123239
Position Surface form Disambiguated ID Type / Status
Subject Liu Bocheng E115520 entity
Predicate child P120 FINISHED
Object Liu Taiying E115520 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Liu Taiying | Statement: [Liu Bocheng, child, Liu Taiying]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Liu Taiying
Context triple: [Liu Bocheng, child, Liu Taiying]
  • A. Liu Taiying chosen
    Liu Taiying is known primarily as the child of prominent Chinese military leader and Marshal Liu Bocheng.
  • B. Wang Ming
    Wang Ming was a prominent early leader and theorist of the Chinese Communist Party who studied in the Soviet Union and played a key role in its internationalist faction.
  • C. Zhu De
    Zhu De was a prominent Chinese Communist military leader and revolutionary who co-founded and commanded the Red Army, playing a key role in the Chinese Civil War and the establishment of the People’s Republic of China.
  • D. Mao Yichang
    Mao Yichang was the father of Mao Zedong and a relatively prosperous peasant farmer in Hunan, China.
  • E. Teng Daiyuan
    Teng Daiyuan was a prominent Chinese Communist revolutionary and military leader who played a key role in the early development of the People's Liberation Army and the People's Republic of China.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69bd4442ade0819087b9461f892b206b completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd78045e448190961db0ca7692370e completed March 20, 2026, 4:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf28f6f5148190ac40ba3256f8264b completed March 21, 2026, 11:25 p.m.
Created at: March 20, 2026, 1:42 p.m.